Comparing their students’ average gains on standardized tests over the school year makes it easier to predict which teachers — all else equal — are more likely to improve their student’s long-term life outcomes.
Responses
© 2025. Kent A. Clark Center for Global Markets.
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7%
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10%
67%
12%
Responses weighted by each expert's confidence
© 2025. Kent A. Clark Center for Global Markets.
0%
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8%
70%
22%
Participant |
University |
Vote |
Confidence |
Bio/Vote History |
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![]() Daron Acemoglu |
MIT | Bio/Vote History | ||
Value-added evaluation is far from perfect. But given that teachers matter greatly, it's surely one of many indicators one should look at.
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![]() Alberto Alesina |
Harvard | Bio/Vote History | ||
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![]() Joseph Altonji |
Yale | Bio/Vote History | ||
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![]() Alan Auerbach |
Berkeley | Bio/Vote History | ||
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![]() David Autor |
MIT | Bio/Vote History | ||
It's imperfect and can be refined, but there's no question this approach contains useful predictive info.
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![]() Katherine Baicker |
University of Chicago | Bio/Vote History | ||
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![]() Abhijit Banerjee |
MIT | Bio/Vote History | ||
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![]() Marianne Bertrand |
Chicago | Bio/Vote History | ||
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![]() Markus Brunnermeier |
Princeton | Did Not Answer | Bio/Vote History | |
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![]() Raj Chetty |
Harvard | Bio/Vote History | ||
![]() Judith Chevalier |
Yale | Bio/Vote History | ||
While in principle test scores are a useful input to teacher evaluation, the work of Rothstein and Darling summarizes important caveats
-see background information here |
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![]() David Cutler |
Harvard | Bio/Vote History | ||
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![]() Angus Deaton |
Princeton | Bio/Vote History | ||
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![]() Darrell Duffie |
Stanford | Bio/Vote History | ||
Although teaching-to-the-test is bad practice, I anticipate a positive correlation between teaching quality and test-score improvement.
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![]() Aaron Edlin |
Berkeley | Bio/Vote History | ||
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![]() Barry Eichengreen |
Berkeley | Bio/Vote History | ||
I'm firmly in the some-testing-is-helpful camp, but tests are likely to be a noisy signal for "long-term" life outcomes.
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![]() Liran Einav |
Stanford | Bio/Vote History | ||
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![]() Ray Fair |
Yale | Bio/Vote History | ||
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![]() Amy Finkelstein |
MIT | Did Not Answer | Bio/Vote History | |
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![]() Pinelopi Goldberg |
Yale | Bio/Vote History | ||
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![]() Austan Goolsbee |
Chicago | Bio/Vote History | ||
yes but with lots of noise and unbservables
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![]() Michael Greenstone |
University of Chicago | Bio/Vote History | ||
impt caveat: you can "get what you pay for" - higher test scores but less fundamental learning. are there broader tests w/o this problem?
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Robert Hall |
Stanford | Bio/Vote History | ||
An heavily fact-related issue in an area I'm not well informed about.
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![]() Oliver Hart |
Harvard | Bio/Vote History | ||
Research by Chetty et al. suggests this is so and I take that seriously. But this is a complex issue and it is early to reach conclusions.
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![]() Bengt Holmström |
MIT | Bio/Vote History | ||
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![]() Caroline Hoxby |
Stanford | Bio/Vote History | ||
If I could answer a well-worded question re: modern value-added methods, I would say "strongly agree" but this question is too badly worded.
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![]() Hilary Hoynes |
Berkeley | Bio/Vote History | ||
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![]() Kenneth Judd |
Stanford | Bio/Vote History | ||
I suspect that most situations do not satisfy the "all else equal" condition.
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![]() Steven Kaplan |
Chicago Booth | Bio/Vote History | ||
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![]() Anil Kashyap |
Chicago Booth | Bio/Vote History | ||
I think that is what Chetty and others find, though "easier" is in the eye of the beholder
-see background information here |
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![]() Pete Klenow |
Stanford | Bio/Vote History | ||
![]() Jonathan Levin |
Stanford | Bio/Vote History | ||
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![]() Eric Maskin |
Harvard | Bio/Vote History | ||
Recent large-scale empirical work seems to back up this assertion.
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![]() William Nordhaus |
Yale | Bio/Vote History | ||
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![]() Emmanuel Saez |
Berkeley | Bio/Vote History | ||
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![]() Larry Samuelson |
Yale | Bio/Vote History | ||
But testing is just one of many measures, and is a noisy measure, and can induce distortions in behavior.
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![]() José Scheinkman |
Columbia University | Bio/Vote History | ||
See Chetty et al. American Economic Review 2014
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![]() Richard Schmalensee |
MIT | Bio/Vote History | ||
Plausible, but ...
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![]() Carl Shapiro |
Berkeley | Bio/Vote History | ||
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![]() Robert Shimer |
University of Chicago | Bio/Vote History | ||
Likely more informative in some schools than others.
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![]() Richard Thaler |
Chicago Booth | Bio/Vote History | ||
Imperfect but useful tool.
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![]() Christopher Udry |
Northwestern | Bio/Vote History | ||
Score gains have some information. But the proper weight is unknown, and "all else equal" is very difficult to arrange.
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